Job Description

Job Description

Job Description

Sr. Azure Data Engineer

Remote

Contract

Mandatory skills: ADF, Azure Data Bricks, PySpark, Spark SQL, PL/SQL, Python

Job Description:

• At least 5 years of consulting or client service delivery experience on Azure.
• At least 10 years of experience in Azure, Big data, database and data warehouse architecture and delivery.
• Minimum of 5 years of professional experience in 2 of the following areas:
  • Solution/technical architecture in the Azure cloud.
  • Big Data/analytics/information analysis/database management in the cloud.
  • IoT/event- driven/microservices in the cloud.

• Experience with private and public cloud architectures, pros/cons, and migration considerations.
• Design and architect an Azure Data Factory, Azure Databricks, Azure Data Lake.
• Lead the Data Governance Program.
• Extensive hands-on experience implementing data migration and data processing using Azure services:, Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc.
• Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.
• Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
• Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plus.
• Experience developing and deploying ETL solutions on Azure.
• Strong in Power BI, Java, C##, Spark, PySpark, Unix shell/Perl scripting.
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Multi-cloud experience a plus - Azure, AWS, Google.

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